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Preparation and Implementation of STAG Recommendations

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Commence a process to re-examine the estimates: Countries ... Day 1: data review by country. Summary of available data describing TB ... Day 3: analyses of ... – PowerPoint PPT presentation

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Title: Preparation and Implementation of STAG Recommendations


1
Preparation and Implementation of STAG
Recommendations
MEETING OF MANAGERS OF THE NTP IN THE EMR RABAT,
MOROCCO 17-19 JUNE 2003
  • Recent Estimations in EMR Countries
  • Dr. John Jabbour
  • Surveillance Officer, STB

2
Recommended Regional Activities
  • Validity of the estimates
  • Commence a process to re-examine the estimates
  • Countries thought to be excessive
  • By December 2002
  • Expected Outcome
  • Report on the results of the revised estimates.

3
Activities Taken
  • Damascus Exercise on TB Surveillance
  • Cairo Workshop on TB Epidemiology and Surveillance

4
Damascus Exercise
  • WHO, HQ and EMRO Activity
  • Took place in Damascus Syria, February 15-21.
  • Countries participated
  • Iran, Jordan, Egypt, Lebanon and Syria

5
Objectives
  • Investigate the possible causes of low case
    detection rates in the countries.
  • Re-estimate the TB burden using the results of
    the analytical exercise.
  • Produce an improved package of analytical
    techniques for TB control programmes.
  • Upgrade the analytical skills of the NTP
    statistical staff.

6
Additional Objectives
  • Revise the different types of the TB
    epidemiologic indicators
  • Diagnosis, DOTS Coverage, Treatment, Death and
    drug consumption.
  • Prepare for the TB Epidemiology and Surveillance
    workshop that took place in Cairo from 3-5 March
    2003.

7
(No Transcript)
8
TB Workshop on Epidemiology and Surveillance
  • HQ, EMRO Activity
  • Took place in Cairo, March 3-6.
  • Countries participated are
  • Egypt, Iran, Jordan, Lebanon, Oman, Saudi Arabia,
    Sudan, Syria, Tunisia and Yemen.

9
TB Workshop on Epidemiology and Surveillance
  • The burden of TB by country
  • The progress towards the WHO targets of 70 case
    detection and 85 cure.
  • Methods to assess TB morbidity and mortality, and
    how these methods can be applied to national
    populations and to sub-populations.
  • Methods to assess case detection and cure rates,
    and methods of analysing data to explain the
    results.

10
Day 1 data review by country
  • Summary of available data describing TB burden
    and trends
  • Summary of estimates of case detection rates,
    nationally and for sub-populations of special
    interest (e.g. by region, ethnic group, age, sex)
  • Summary of treatment outcomes, nationally and for
    specific sub-populations
  • Summary of impact of TB control (incidence,
    prevalence, deaths)
  • Overview of outstanding analytical problems (from
    perspective of the NTP)

11
Day 2 surveys and estimates
  • AM Surveys of TB infection and disease
  • PM Methods for making estimates of TB incidence
    (prevalence, deaths)

12
Day 3 analyses of surveillance data
  • AM Examples from EMR and elsewhere, based on
    standard and other indicators
  • PM Presentations of results by country

13
Five indirect measures of TB incidence
5. Drug Consumption
Incidence, prevalence, deaths derived by
rearranging 4 equations
14
  • Proportion detected guess from quality of
    surveillance system e.g. USA probably detects
    about 95 of cases
  • More objective e.g. health units reporting in
    any year
  • Method 1 weak with poor surveillance, but strong
    MS is the ultimate goal

15
  • Disease prevalence from population surveys e.g.
    Philippines, China, Cambodia
  • Duration time span of the condition measured in
    prevalence survey e.g. ss disease
  • Duration from e.g. patients and physicians asked
    about reporting and treatment delays (often
    underestimated)

16
  • Styblo ratio 1 ARI to 50 ss/100,000 population
  • Accuracy of ARI from tuberculin surveys?
  • 150 breaks down when TB incidence not stable
    (gets bigger in decline), and in presence of HIV

17
  • Accuracy of deaths from vital registration?
  • Case fatality more accurately measured from
    observed cohorts (but fate of defaulters,
    transfers?)
  • CFR less accurately from unseen patients, whether
    treated or untreated

18
Methods used by Country
19
Revised Estimates
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